Artificial Intelligence Jobs

Hadean · London

Lead a multidisciplinary engineering team building dominAI, an AI-powered defence product, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. Own delivery end-to-end, hiring and people development, partnering with Product and technical leads. Hybrid, one day a week in Shoreditch.

Matchtech · Cambridgeshire · £450 – £650 pd

Contract Python developer role focused on building and maintaining software for integration with a defence cloud environment. Day-to-day work spans data and AI, automation and tooling, and DevOps, using Red Hat OpenShift, Quay, HashiCorp Vault, Tekton Pipelines, GitHub, ArgoCD and SonarQube within agile teams. Requires UK Eyes Only clearance eligibility and is based on-site/hybrid in Cambridgeshire.

EMBS Engineering · London · £60,000 – £75,000 pa

Hands-on engineering role building core services and features for an enterprise-grade Generative and Agentic AI platform for a financial services client. Involves Python/FastAPI backend development, LLM integration, RAG architectures, prompt orchestration and AWS services such as Bedrock, AgentCore and EKS, plus CI/CD and DevOps. Works alongside AI engineers, architects and platform specialists on secure, production-ready AI applications.

Advancing People · Brussels, Belgium

Builds and maintains Python-based Intelligent Document Processing pipelines, focusing on AI-driven document understanding such as data extraction and classification. Works in a product team alongside AI, front-end and infrastructure engineers, using LLMs, Flask/Django/FastAPI and cloud infrastructure. Requires two days per week in the Brussels office.

Medtronic · London · £76,800 – £115,200 pa

Builds and maintains a Python-based SaaS platform for project, data and annotation management used by internal machine learning engineers and data scientists. Works with data and platform engineers to handle growing data volumes, and collaborates with stakeholders to define requirements and validate features in an iterative, quality-driven environment.

Intec Select · London · £65,000 – £80,000 pa

Hands-on role building complete software and data systems end to end, from architecture through to production, for an investment management firm's internal platforms. Work spans Python and SQL backend development, REST APIs, data pipelines, cloud infrastructure and applied AI/LLM tools for document processing, reporting and automation.

Darktrace · Cambridge

Owns the prototyping and development of new ideas to improve Darktrace's cybersecurity services, balancing creativity with time constraints to ship novel features. Works with a cross-functional team of engineers, designers and strategists on projects spanning rapid prototyping to structured platform development, with a focus on defending against unknown cyber-attacks.

eFinancialCareers · London · £110,000 – £140,000 pa

You will join a small AI labs team as one of two senior engineers, building Agentic AI solutions for internal investment, sales and marketing departments, taking projects from inception to production in roughly three-month cycles. Work centres on Python, AWS, LangChain and LangGraph, with client demos and potential partnerships, before handing solutions to departmental tech teams.

Corriculo · Birmingham · £35,000 – £45,000 pa

Designs, deploys and maintains intelligent workflows and AI-powered agents, building integrations with external applications and data sources via REST APIs and JSON. Works in a collaborative Data and Analytics team, engaging business users to translate requirements into technical solutions and supporting testing, training and adoption. Requires hands-on work with Power Automate, n8n, Zapier or Make plus Python or JavaScript.

Involved Solutions · Ipswich · £55,000 – £70,000 pa

Design, develop and maintain scalable Python applications, taking ownership from design through to deployment. Integrate AI and Generative AI tools into development processes while contributing to system architecture, code quality and performance optimisation. Work fully on-site in Ipswich, collaborating with technical teams and business stakeholders on projects blending traditional engineering with modern AI capabilities.

Morson Edge · United Kingdom · £100,000 – £110,000 pa

Builds and maintains production-grade AI platforms, including RAG pipelines, LLM integrations and vector search, on Microsoft Azure. Owns cloud-native services, Terraform infrastructure-as-code, CI/CD and observability while improving latency and reliability of AI workloads. Works closely with AI, software engineering, DevOps and security teams in a fully onsite Manchester setting.

GCS · London · £600 – £650 pd

Build and enhance LLM-powered document extraction pipelines, covering PDF processing, OCR, entity matching and structured data extraction. Improve accuracy through testing, evaluation and regression frameworks, and scale services on Azure with FastAPI, Terraform and Azure DevOps. Works alongside senior engineers and stakeholders on a high-profile AI programme.

King's College London · London · £45,031 – £52,514 pa

Designs, builds and evaluates AI-enabled evidence synthesis tools and pipelines for the METIUS programme, writing production-quality Python code and onboarding consortium partners. Runs methodological and evaluation studies on the reliability and usability of AI-assisted synthesis methods, publishing the results, and contributes to the Solace-AI project on climate-health emergencies. Works alongside software developers, data scientists and evidence synthesis specialists.

Cortech Talent Solutions · Glasgow · £45,000 – £65,000 pa

Hands-on full stack role building and maintaining web applications and backend services for a digital platform, working from Python services to customer-facing interfaces. You'll integrate front-end elements with server-side logic, support AI/ML and IoT-dependent systems, and work across the full development lifecycle in a small team where work reaches production quickly.

NVIDIA · Switzerland

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python skills plus deep knowledge of ML framework internals and CPU/GPU architectures.

NVIDIA · United Kingdom

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python, ML framework internals, and CPU/GPU architecture expertise.